2017
DOI: 10.1177/0300985817709888
|View full text |Cite
|
Sign up to set email alerts
|

The Pathologist 2.0: An Update on Digital Pathology in Veterinary Medicine

Abstract: Using light microscopy to describe the microarchitecture of normal and diseased tissues has changed very little since the middle of the 19th century. While the premise of histologic analysis remains intact, our relationship with the microscope is changing dramatically. Digital pathology offers new forms of visualization, and delivery of images is facilitated in unprecedented ways. This new technology can untether us entirely from our light microscopes, with many pathologists already performing their jobs using… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
121
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 65 publications
(121 citation statements)
references
References 75 publications
0
121
0
Order By: Relevance
“…Statistical physics recently provided evidence for their unexpected effectivity [22]. Deep learning is used in different fields of research, relating to image recognition, from urban dynamic [23,24] to general tracking of humans and animals [25], which is important in neuroscience, behavioral biology and digital pathology [26]. These networks are successfully used in many applications involving the acquisition of information about features of an image that traditionally only humans or animals could perceive.…”
Section: Introductionmentioning
confidence: 99%
“…Statistical physics recently provided evidence for their unexpected effectivity [22]. Deep learning is used in different fields of research, relating to image recognition, from urban dynamic [23,24] to general tracking of humans and animals [25], which is important in neuroscience, behavioral biology and digital pathology [26]. These networks are successfully used in many applications involving the acquisition of information about features of an image that traditionally only humans or animals could perceive.…”
Section: Introductionmentioning
confidence: 99%
“…The cornerstones of histopathology are description and its subsequent interpretation, which largely depends on the experience of the pathologist. Therefore, there may be a degree of subjectivity that requires initiatives for standardization across the scientific literature, especially nowadays, in light of the rising era of digital pathology (Bertram & Klopfleisch 2017; Egevad et al 2017). Indeed, much work has been done on standardization of pre‐analytic and analytic phases, such as fixation times or staining optimization, and currently most of the effort is focused on post‐analytic parameters, like reporting and interpretation of the results (Barisoni et al 2017; Egevad et al 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Studies in veterinary medicine focused on comparing the diagnostic results from either digital slides or photomicrographs to glass slides are limited. Two recently published digital pathology veterinary articles focus on histopathology, rather than cytopathology, and another used whole slide imaging that is not readily available to general practitioners . In one veterinary cytology study, consensus diagnoses from glass slides were compared to an image‐only based diagnosis with 85% agreement, but additional studies assessing the validity of telecytology in veterinary medicine are needed.…”
Section: Introductionmentioning
confidence: 99%